Evidence map›Paper›PMID 40165074›Full record

ArticleBMC genomics2025

Whole genome sequencing and analysis of the symbiotic Armillaria gallica M3 with Gastrodia elata.

Cheng-Ying Luo, Yao Lu, Lei Su, Jia-Jia Liu, Jia-Yun Miao, Yi-Cen Lin, Lian-Bing Lin

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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  3. Biology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Cheng-Ying Luo *Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
Yao Lu *Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
Lei SuFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
Jia-Jia LiuFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China.
Jia-Yun MiaoYunnan Senhao Fungi Industry Co., Ltd, Zhaotong, 657600, China.
Yi-Cen LinFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China. yicenlin@kust.edu.cn.
Lian-Bing LinFaculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China. linlb@kust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn the one hand, Armillaria is regarded as a plant disease that causes serious root rot of forest trees, on the other hand, Armillaria is also an important symbiotic fungi of the valuable Chinese herb Gastrodia elata. Currently, the whole genome database of Armillaria is relatively limited, and it is expected that a more comprehensive understanding of the symbiotic interactions between Armillaria and G. elata can be achieved through genome-wide comparisons and functional annotations. Whole genome sequencing of Armillaria gallica M3 strain was performed using Oxford Nanopore Technologies sequencing platform, and the sequencing data were used to perform genome assembly, gene prediction and functional annotation, carbohydrate-active enzymes, and host-pathogen interactions using bioinformatics methods.

resultsIn this study, we obtained an 83.33 M genome of A. gallica M3 strain, which consisted of 38 overlapping clusters with an N50 of 6,065,498 bp and a GC content of 47.43%. A total of 12,557 genes were identified in the genome of A. gallica M3, and the repetitive sequences accounted for about 44.36% of the genome. 42.26% of the genome was composed of glycoside hydrolases (GHs), 16.15% of the genome was composed of glycosyltransferases (GTs). In addition, 3412 genes in A. gallica M3 were involved in the host-pathogen interaction mechanism.

conclusionsThese results have elucidated the characteristics of A. gallica M3 from a genomic perspective to a certain extent. They help to analyze the inner mechanism of A. gallica M3 being able to symbiosis with G. elata at the genomic level, which is of great significance to the next related research of A. gallica M3.

Indexed as

ArmillariaGastrodiaGenome, FungalSymbiosisWhole Genome SequencingMolecular Sequence AnnotationPhylogenyArmillariaGastrodia elataGenomeMechanism analysisSymbiosis

Identifiers

PMID40165074
PMCPMC11959761

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